Project dossier
Vivik — Voice AI orchestration for transactional enterprise workloads
Vivik embodies Bajpai Labs' obsession with bridging conversational surfaces and deterministic infrastructure—turning stochastic speech decoding into audited, schema-bound actions that hydrate CRMs, calendars, hospitality PMS systems, FHIR-aligned intake flows, Kafka topics, PostgreSQL fleets, or bespoke microservices behind mutual TLS gateways.
Capability matrix
Autonomous conversational agents
Stateful dialogue managers with multilingual coverage, hallucination clamps, escalation routing, jitter-aware telephony ingestion, observability breadcrumbs, replay-friendly transcripts.
Speech → structured ontology
Calibration loops map spoken slots to validated JSON payloads with locale-aware parsers, deterministic confirmation gates, anomaly surfacing before HTTP emission.
Workflow execution & webhook mesh
Composable POST/PATCH choreography, hashed webhook secrets, idempotent retries with exponential backoff—compatible with Zapier substitutes, Temporal-style orchestrators where clients demand them.
Developer-first AI infrastructure
Sandbox harnesses mirror production speech policies; OpenAPI-friendly contracts shorten integration timelines; OTLP-aligned traces export to Grafana, Honeycomb-compatible sinks, Elastic stacks.
Systems manifesto
Research-grade AI engineering rejects ornamental chat wrappers. Vivik embraces evaluation harnesses, shadow traffic canaries, policy-as-code guardrails, and regression suites that scrutinize multilingual misalignment before production traffic observes them—positioning Bajpai Labs as an AI infrastructure nucleus for autonomy, telemetry, orchestration pipelines, quantization-aware backends, quantum-inspired optimizers, and enterprise SLA culture.
Vivik FAQs
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